{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import joblib\n",
    "import matplotlib as  mpl\n",
    "from matplotlib import pyplot as plt\n",
    "%matplotlib inline\n",
    "mpl.rcParams[u'font.sans-serif'] = ['simhei']\n",
    "mpl.rcParams['axes.unicode_minus'] = False"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1.加载原始数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%time\n",
    "input_dir = '../preprocess_data_new/'\n",
    "output_dir = '../preprocess_data_new/'\n",
    "train_ax = joblib.load(input_dir + 'train_ax.lz4')\n",
    "valid = joblib.load(input_dir + 'valid.lz4')\n",
    "test = joblib.load(input_dir + 'test.lz4')\n",
    "\n",
    "train_y = joblib.load(input_dir + 'train_y_33465.lz4')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.查看样本缺失值的分布"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%time\n",
    "# 统计缺失值数量,得到指示缺失的布尔矩阵\n",
    "null_matrix_tra = train_ax.isnull()\n",
    "null_matrix_val = valid.isnull()\n",
    "null_matrix_test = test.isnull()\n",
    "row_null_sum_tra = null_matrix_tra.sum(axis=1)\n",
    "row_null_sum_val = null_matrix_val.sum(axis=1)\n",
    "row_null_sum_test = null_matrix_test.sum(axis=1)\n",
    "null_matrix_dict = {\n",
    "    'null_matrix_tra': null_matrix_tra,\n",
    "    'null_matrix_val': null_matrix_val,\n",
    "    'null_matrix_test': null_matrix_test\n",
    "}\n",
    "\n",
    "joblib.dump(null_matrix_dict, output_dir + 'null_matrix_dict')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "row_null_cnt_sort_tra = row_null_sum_tra.value_counts().sort_index()\n",
    "row_null_cnt_sort_val = row_null_sum_val.value_counts().sort_index()\n",
    "row_null_cnt_sort_test = row_null_sum_test.value_counts().sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.figure(figsize=(20,15))\n",
    "# train集的缺失值数量分布\n",
    "plt.subplot(221)\n",
    "\n",
    "# 分桶显示代码\n",
    "# xpos = [800,593,1493,23,3000]\n",
    "# plt.vlines(x=xpos[0],ymin=0,ymax=0.001,colors='red')\n",
    "# plt.vlines(x=xpos[1],ymin=0,ymax=0.001,colors='red')\n",
    "# plt.vlines(x=xpos[2],ymin=0,ymax=0.001,colors='red')\n",
    "# plt.vlines(x=xpos[3],ymin=0,ymax=0.001,colors='red')\n",
    "# plt.vlines(x=xpos[4],ymin=0,ymax=0.0019,colors='forestgreen')\n",
    "plt.hlines(y=0,xmin=0,xmax=5000,colors='red')\n",
    "plt.vlines(x=3000,ymin=0,ymax=0.0019,colors='forestgreen')\n",
    "\n",
    "plt.scatter(row_null_cnt_sort_tra.index, row_null_cnt_sort_tra/100000,s=3,alpha=0.8)\n",
    "plt.title(s = 'train集缺失值数量的分布',fontdict = {'fontsize':20})\n",
    "plt.ylabel(s = '缺失值对应的样本数量占比',fontdict = {'fontsize':15})\n",
    "plt.xlabel(s = '缺失值数量', fontdict = {'fontsize':15})\n",
    "\n",
    "# valid集的缺失值数量分布\n",
    "plt.subplot(222)\n",
    "\n",
    "plt.hlines(y=0,xmin=0,xmax=5000,colors='red')\n",
    "plt.vlines(x=3000,ymin=0,ymax=0.0019,colors='forestgreen')\n",
    "\n",
    "plt.scatter(row_null_cnt_sort_val.index, row_null_cnt_sort_val/20000,s=3,alpha=0.8)\n",
    "plt.title(s = 'valid集缺失值数量的分布',fontdict = {'fontsize':20})\n",
    "plt.ylabel(s = '缺失值对应的样本数量占比',fontdict = {'fontsize':15})\n",
    "plt.xlabel(s = '缺失值数量', fontdict = {'fontsize':15})\n",
    "\n",
    "\n",
    "# test集的缺失值数量分布\n",
    "plt.subplot(223)\n",
    "\n",
    "plt.hlines(y=0,xmin=0,xmax=5000,colors='red')\n",
    "plt.vlines(x=3000,ymin=0,ymax=0.0019,colors='forestgreen')\n",
    "\n",
    "plt.scatter(row_null_cnt_sort_test.index, row_null_cnt_sort_test/20000,s=3,alpha=0.8)\n",
    "plt.title(s = 'test集缺失值数量的分布',fontdict = {'fontsize':20})\n",
    "plt.ylabel(s = '缺失值对应的样本数量占比',fontdict = {'fontsize':15})\n",
    "plt.xlabel(s = '缺失值数量', fontdict = {'fontsize':15})\n",
    "\n",
    "plt.subplot(224)\n",
    "plt.scatter(row_null_cnt_sort_tra.index, row_null_cnt_sort_tra/100000,s=3,alpha=0.7, c='g')\n",
    "plt.scatter(row_null_cnt_sort_val.index, row_null_cnt_sort_val/20000,s=3,alpha=0.3, c='r')\n",
    "plt.title(s = 'train和valid缺失值数量的分布重合图',fontdict = {'fontsize':20})\n",
    "plt.ylabel(s = '缺失值对应的样本数量占比',fontdict = {'fontsize':15})\n",
    "plt.xlabel(s = '缺失值数量', fontdict = {'fontsize':15})\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Ks_2sampResult(statistic=0.49278565491054854, pvalue=5.541746361964754e-228)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from scipy import stats\n",
    "stats.ks_2samp(row_null_cnt_sort_tra,row_null_cnt_sort_val)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Ks_2sampResult(statistic=0.018146527948105784, pvalue=0.8999904679208379)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# valid和test同源同分布\n",
    "stats.ks_2samp(row_null_cnt_sort_val,row_null_cnt_sort_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3.查看样本每一维缺失率情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "intput_dir = '../preprocess_data_new/'\n",
    "null_matrix_dict = joblib.load(intput_dir + 'null_matrix_dict')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "col_null_sum_tra = null_matrix_dict['null_matrix_tra'].sum(axis=0)\n",
    "col_null_sum_val = null_matrix_dict['null_matrix_val'].sum(axis=0)\n",
    "col_null_sum_test = null_matrix_dict['null_matrix_test'].sum(axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "col_null_sort_tra = col_null_sum_tra.sort_values()\n",
    "col_null_sort_val = col_null_sum_val.sort_values()\n",
    "col_null_sort_test = col_null_sum_test.sort_values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fc9f3f0f5c0>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(range(col_null_sum_tra.shape[0]), col_null_sum_tra/100000,s=3,alpha=0.7, c='g')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fc96fec3860>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1080 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,15))\n",
    "\n",
    "plt.subplot(221)\n",
    "plt.title(s = 'train集每一维缺失率情况(按升序排列)',fontdict = {'fontsize':20})\n",
    "plt.ylabel(s = '缺失率',fontdict = {'fontsize':15})\n",
    "plt.xlabel(s = '特征', fontdict = {'fontsize':15})\n",
    "\n",
    "plt.scatter(range(col_null_sort_tra.shape[0]), col_null_sort_tra/100000,s=3,alpha=0.7, c='r')\n",
    "\n",
    "plt.subplot(222)\n",
    "plt.title(s = 'valid集每一维缺失率情况(按升序排列)',fontdict = {'fontsize':20})\n",
    "plt.ylabel(s = '缺失率',fontdict = {'fontsize':15})\n",
    "plt.xlabel(s = '特征', fontdict = {'fontsize':15})\n",
    "plt.scatter(range(col_null_sort_val.shape[0]), col_null_sort_val/20000,s=3,alpha=0.7, c='y')\n",
    "\n",
    "plt.subplot(223)\n",
    "plt.title(s = 'test集每一维缺失率情况(按升序排列)',fontdict = {'fontsize':20})\n",
    "plt.ylabel(s = '缺失率',fontdict = {'fontsize':15})\n",
    "plt.xlabel(s = '特征', fontdict = {'fontsize':15})\n",
    "plt.scatter(range(col_null_sort_test.shape[0]), col_null_sort_test/20000,s=3,alpha=0.7, c='g')\n",
    "\n",
    "plt.subplot(224)\n",
    "plt.title(s = '三个数据集重合(按升序排列)',fontdict = {'fontsize':20})\n",
    "plt.ylabel(s = '缺失率',fontdict = {'fontsize':15})\n",
    "plt.xlabel(s = '特征', fontdict = {'fontsize':15})\n",
    "\n",
    "y_pos = [0.0, 0.00767, 0.09443, 0.35144, 0.51962, 0.77360, 0.825, 1.0]\n",
    "plt.hlines(y=y_pos[0],xmin=0,xmax=6800,colors='red')\n",
    "plt.hlines(y=y_pos[1],xmin=0,xmax=6800,colors='red')\n",
    "plt.hlines(y=y_pos[2],xmin=0,xmax=6800,colors='red')\n",
    "plt.hlines(y=y_pos[3],xmin=0,xmax=6800,colors='red')\n",
    "plt.hlines(y=y_pos[4],xmin=0,xmax=6800,colors='red')\n",
    "plt.hlines(y=y_pos[5],xmin=0,xmax=6800,colors='red')\n",
    "plt.hlines(y=y_pos[6],xmin=0,xmax=6800,colors='red')\n",
    "plt.hlines(y=y_pos[7],xmin=0,xmax=6800,colors='green')\n",
    "\n",
    "plt.scatter(range(col_null_sort_tra.shape[0]), col_null_sort_tra/100000,s=3,alpha=0.7, c='r')\n",
    "plt.scatter(range(col_null_sort_val.shape[0]), col_null_sort_val/20000,s=3,alpha=0.4, c='y')\n",
    "plt.scatter(range(col_null_sort_val.shape[0]), col_null_sort_test/20000,s=3,alpha=0.1, c='g')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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